code: def test_read_json_multiple_files_with_path_column(blocksize, tmpdir):
      fil1 = str(tmpdir.join("fil1.json")).replace(os.sep, "/")
      fil2 = str(tmpdir.join("fil2.json")).replace(os.sep, "/")
      df = pd.DataFrame({"x": range(5), "y": ["a", "b", "c", "d", "e"]})
      df2 = df.assign(x=df.x + 0.5)
      orient = "records"
      lines = True
      df.to_json(fil1, orient=orient, lines=lines)
      df2.to_json(fil2, orient=orient, lines=lines)
      path_dtype = pd.CategoricalDtype((fil1, fil2))
      df["path"] = pd.Series((fil1,) * len(df), dtype=path_dtype)
      df2["path"] = pd.Series((fil2,) * len(df2), dtype=path_dtype)
      sol = pd.concat([df, df2])
      res = dd.read_json(
          str(tmpdir.join("fil*.json")),
          orient=orient,
          lines=lines,
          include_path_column=True,
          blocksize=blocksize,
      )
      assert_eq(res, sol, check_index=False)
  
imports: from __future__ import annotations
  import json
  import os
  import fsspec
  import pandas
  import pytest
  from packaging.version import Version
  import dask
  import dask.dataframe
  from dask.dataframe._compat import PANDAS_GE_200
  from dask.dataframe.utils import assert_eq
  from dask.utils import tmpdir, tmpfile
label_desc: Use image node_id 6 for calling a global function with example usage: test_read_json_multiple_files_with_path_column(blocksize, tmpdir) without return types